Rethinking Planar Homography Estimation Using Perspective Fields

ACCV 2018 2019 • Rui Zeng • Simon Denman • Sridha Sridharan • Clinton Fookes

Planar homography estimation refers to the problem of computing a bijective linear mapping of pixels between two images. While this problem has been studied with convolutional neural networks (CNNs), existing methods simply regress the location of the four corners using a dense layer preceded by a fully-connected layer... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Homography Estimation COCO 2014 PFNet MACE 0.92 # 1

Methods used in the Paper


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